Identify soccer gear by logo using AI

Below is a free classifier to identify soccer gear by logo. Just upload your image, and our AI will predict what brand of soccer gear it is - in just seconds.

soccer gear by logo identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("soccer-gear-by-logo", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/soccer-gear-by-logo/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/soccer-gear-by-logo/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what brand of soccer gear it is.

This pretrained image model uses a Nyckel-created dataset and has 28 labels, including Adidas, Asics, Carhartt, Copa, Derbystar, Diadora, Errea, Gola, Hml and Hummel.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what brand of soccer gear it is).

Whether you're just curious or building soccer gear by logo detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify soccer gear by logo at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • E-commerce Product Identification: Online retailers can utilize the soccer gear by logo identifier to automatically categorize and tag products based on their brand logos. This will streamline the search process for customers looking for specific brands, enhancing the shopping experience and improving sales conversions.

  • Inventory Management: Sports retailers can integrate the logo identification function into their inventory systems to automatically update stock levels based on specific branded gear. This ensures accurate inventory tracking and reduces the potential for human error in manual stock management.

  • Brand Enforcement in Resale Markets: Resale platforms can employ the logo classifier to verify the authenticity of soccer gear being sold. This helps in maintaining brand integrity, ensuring that only genuine products are sold on their marketplace, which is crucial for both consumers and brands.

  • Targeted Marketing Campaigns: Companies can use the identifier to analyze customer preferences for specific brands and logos on social media and online platforms. By understanding which logos resonate more with their audience, businesses can tailor their marketing strategies and promotions more effectively.

  • Visual Search Capabilities: App developers can incorporate the logo identification feature into visual search technologies, allowing users to take photos of gear and receive immediate information about the brand and where to buy it. This enhances functionality and engages users deeply with brand offerings.

  • Customized Affiliate Programs: Sports brands can utilize the identifier to monitor and manage affiliate links based on logo identification. This will help track which logos drive traffic and sales, providing better insights into which partners are most effective in promoting specific gear.

  • Social Media Monitoring: Brands can implement the logo detection in social media analytics tools to track user-generated content featuring their logos. This provides valuable insights into brand visibility, customer sentiment, and opportunities for community engagement or influencer collaborations.

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